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Zero to Hero: Untested to Tested with Visual Studio Fakes Benjamin Day @benday
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Benjamin Day Brookline, MA Consultant, Coach, & Trainer Microsoft MVP for Visual Studio ALM Scrum, Team Foundation Server, Software Testing, Software Architecture Scrum.org Classes – Professional Scrum Master (PSM) – Professional Scrum Developer (PSD) – Professional Scrum Foundations (PSF) www.benday.com, benday@benday.com, @benday
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Got ?
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Let’s start out with a story.
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In the beginning, I was a Pascal & C programmer.
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Not object-oriented.
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Wrote my code on paper.
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99% of my day in the debugger.
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Everyone else spent that much time in the bugger, too.
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Then I become a VB6 & Java programmer.
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Object-oriented.
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50% of my time in the debugger.
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Why so much less time in the debugger?
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Bugs are encapsulated.
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I learn C#.
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Still 50 % of my life in the debugger.
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Then someone tells me about this thing called “unit testing.”
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“Well, that’s the dumbest thing I’ve ever heard.”
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“I don’t need another test harness for my code.”
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(Ignore.) “(click)”
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(Ignore.)
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At some point, someone paid me to write a course on unit testing.
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(cha-ching.)
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“You think about what you’re trying to build before you build it?”
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“Then you write an automated test that doesn’t even compile?!?!”
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Make the code pass, then you have a failing automated test.
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“Then you code until the test passes?”
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“Well, that’s just plain stupid.”
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(Have you noticed that I'm resistant to change and unsettled by new things?)
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Then I start to like it.
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My debugger time drops to near zero.
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IMHO, time in the debugger is time I’m not writing features.
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Before unit testing, long lists of defects.
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After unit testing, practically no defects.
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I’m delivering much higher quality code to my customers.
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Happier customers.
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They’re no longer telling me my stuff is broken.
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Since then, I’m obsessed with making sure my code is testable.
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(…and now the real world comes crashing in like a dinosaur-killing meteorite out of the emptiness of space.)
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We don’t always get to write our code from scratch.
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We sometimes have to build on top of existing code.
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Existing.
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Awful.
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Just-this-side-of-barely-working.
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Code.
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Ever tried to add unit tests to an existing application?
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Darned close to impossible.
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Why is it so hard to add tests? When you build with TDD… – Lots of design decisions… – You always pick the testable one. – Assumes automated tests. – End result: testable & maintainable. When you build without TDD… – Lots of design decisions… – You picked the one that gets it done. – Testing is focused on integration testing & QA. – Assumes human-driven tests. – End result: not that testable.
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What makes it not testable? Tightly coupled Hidden or embedded dependencies Required data & databases Usually, insane amount of setup code for the test.
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Design goals in a testable system (Testable, obviously.) Code to interfaces rather than concrete types Single Responsibility Principle (SRP) Dependency Injection Layered
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http://lostechies.com/derickbailey/files/2011/03/SingleResponsibilityPrinciple2_71060858.jpg
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http://lostechies.com/derickbailey/files/2011/03/DependencyInversionPrinciple_0278F9E2.jpg
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Here’s a best practice…
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Design For Testability.
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Build your app so that it can be tested.
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“Sure, Ben. That’s nice. So. Uhhh. Yah. We didn’t do that. What’s next?”
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Design For Testability. Refactor For Testability.
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It’s called a unit test. Small units of functionality Tested in isolation Unit Test != Integration Test If you designed for testability, you (probably) can test in isolation. If you *didn’t*, testing that monolithic app looks scary.
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“How am I supposed to test THAT?!” http://www.pdphoto.org/PictureDetail.php?mat=&pg=8307
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1. You have to break it apart.
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2. You’ve got to start somewhere.
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The Microsoft Fakes Framework Helps you to unit test in isolation Uses delegates & lambda expressions Shims – (Magic.) – Substitute hard-coded types with *something else* at runtime Stubs – Helps if you’re interface-driven – Creates default() implementations of an interface including properties & methods
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Stubs vs. Shims Stubs – If you’ve got interfaces already – You’re building from scratch – If you want to save yourself some typing – You aren’t battling “sealed” and “static” keywords Shims – Stuff is hopelessly stuck together – Stuff is hopelessly non-testable – You’re supporting legacy code Suggestion: Shims are not a long-term solution – Use them to help you refactor and actually fix the testability problem
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Demo 1: Write the PersonDataAccess unit test Use shims to replace PersonDataAccess
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Techniques for going from 0 to hero Remember: you don’t *have to* start writing tests for existing code. – Although that might be a good idea. Write tests for new features. Write tests for changes to existing features. Fix bugs with unit tests.
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Things to think about.
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How would you test this? http://www.flickr.com/photos/ericejohnson/4427453880/
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What is Design For Testability? Build it so you can test it. How would you test this? Do you have to take the plane up for a spin? http://www.flickr.com/photos/ericejohnson/4427453880/
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try { DoSomething(); } catch(SqlServerOutOfDiskSpaceException ex) { SaveTheUniverseFromDestruction(); }
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Demo 2: Use Stubs to get code coverage on exceptions Use Stubs to save typing / pain
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Dependency Injection.
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What is Dependency Injection? Classes advertise their dependencies on the constructor – Need to save & load Person objects? – Add a person data access instance on the constructor. Helps you to design for testability Related to the Factory Pattern Keeps classes loosely coupled
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http://lostechies.com/derickbailey/files/2011/03/DependencyInversionPrinciple_0278F9E2.jpg
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Advertise Dependencies on Constructor Less AwesomeNow With More Awesome
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Why does DI help with testability? Helps you focus on the testing task at hand – Only test what you’re trying to test. Skip everything else. Makes interface-driven programming simple Interface-driven programming + DI lets you use mocks and stubs in your tests.
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Demo 3: Refactor Person Manager to use a Logger DI parameter Add verification to Logger calls with Stubs
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Avoid End-to-End Integration Tests Does a good test… …really have to write all the way to the database? …really have to have a running WCF service on the other end of that call? …really need to make a call to the mainframe?
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Reminder: Only test what you have to test. To test this latch, do you have to take the plane up for a spin? http://www.flickr.com/photos/ericejohnson/4427453880/
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The Repository Pattern “Mediates between the domain and data mapping layers using a collection-like interface for accessing domain objects.” – http://martinfowler.com/eaaCatalog /repository.html http://martinfowler.com/eaaCatalog /repository.html Encapsulates the logic of getting things saved and retrieved
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Demo 4: Refactor Person Manager to use a Repository Convert tests to use in-memory fake database
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What’s some of the dullest code to write that’s the most error prone?
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Service data transfer objects to/from Domain objects.
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ADO.NET objects to/from Domain objects.
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This code probably sits in an object named *DataAccess, right?
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*DataAccess makes a call into the database and then converts the data into Domain objects, right?
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http://lostechies.com/derickbailey/files/2011/03/SingleResponsibilityPrinciple2_71060858.jpg
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1) It makes the database call 2) It converts the objects
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Adapter Pattern.
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Repository Pattern & Adapter Pattern.
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Demo 5: Refactor to Repository & Adapter
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Summary Tightly-coupled app Type replacement to make it testable Stubs to save typing and cover exceptions Eliminate or reduce dependency on database from tests Refactor to Repository & Adapter
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Any last questions?
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Thank you. www.benday.com | benday@benday.com
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